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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 21 Oct 2009 09:44:13 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/21/t1256139950btwaw9osklmpk4v.htm/, Retrieved Thu, 02 May 2024 09:29:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49444, Retrieved Thu, 02 May 2024 09:29:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact185

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [KDGP1W42] [2009-10-21 15:44:13] [d00efe1a3b3f6588aa0a3288268f2e7e] [Current]
-  M      [Harrell-Davis Quantiles] [KDGP1W42] [2010-01-21 23:12:06] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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4
-3
-3
0
6
-1
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49444&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49444&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49444&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-3.688339234400190.854043772825385
0.02-3.213535425322560.828741195821895
0.03-2.703191717221930.927794804864756
0.04-2.216612822175660.973444444081616
0.05-1.779629294297680.904566996021462
0.06-1.405391384646580.77937716606322
0.07-1.092841912327510.679429689640013
0.08-0.827022463962190.648808243372527
0.09-0.5861392353519630.685757555833834
0.1-0.348894069805350.773938387162315
0.11-0.09793646718270680.905298956875296
0.120.1799005022981071.07727701329077
0.130.4942367954797071.28337659501090
0.140.8511779841634121.50886477820822
0.151.252649611337221.73211632695769
0.161.695699467205411.92894385990842
0.172.17245260034252.07765864384906
0.182.671016153107842.16337870266772
0.193.177191156423082.18056353732107
0.23.676561384981132.13338809378988
0.214.156451161518622.03409074711299
0.224.607338196648151.89989093798096
0.235.023500272968421.74932660365460
0.245.402889799586871.59882969935815
0.255.746408002833751.46008831292435
0.266.056854547926811.33878254650676
0.276.337847733778081.2348628503294
0.286.5929563697351.14433756525544
0.296.825183858864711.06177792471906
0.37.036831097452650.982718046056547
0.317.229667837639520.905139777975272
0.327.405282367818420.829946303314467
0.337.565463617621640.760613705795752
0.347.712492519198850.702290995568195
0.357.84926672448840.660573740478089
0.367.979237782348890.640003459704461
0.378.106187933034990.64265641887979
0.388.233905411618140.667320911677802
0.398.3658294600370.709934428102549
0.48.50473132242460.76473329439814
0.418.652480777368840.825366686037895
0.428.809925667188240.885740445068203
0.438.976890032206030.940445231346715
0.449.15227863768840.985129800476626
0.459.334263629645931.01670047143020
0.469.52052281525371.03342401022941
0.479.70849764994761.03494400147077
0.489.895641122812151.02214517129757
0.4910.07963027363110.99692592884405
0.510.25852439862830.961934324626934
0.5110.43085780140470.920182596172704
0.5210.59566492815430.874680450172092
0.5310.75244522781810.82807571737369
0.5410.90108383774960.782394844201205
0.5511.04175045443110.738887911461891
0.5611.17480070624330.698088838080976
0.5711.30070084879940.660024341862697
0.5811.41998780837990.624539063932022
0.5911.53326429770630.591654480290515
0.611.64121612925250.561798364698142
0.6111.74462978183800.535792206960133
0.6211.84438600607410.514678652833337
0.6311.94141131713690.499236737131356
0.6412.03658266609250.48949050001236
0.6512.13059796386910.484334019023671
0.6612.22384136865810.48152284754233
0.6712.31628207970550.478065135832528
0.6812.40744503535700.470902072097219
0.6912.49648038794790.457605974252706
0.712.58233813571400.437008412232592
0.7112.66402968024580.409572099488196
0.7212.74093540544380.377523758909623
0.7312.81310214959980.344739606134399
0.7412.88147016791450.316514593715085
0.7512.94797668435530.299036470885872
0.7613.01550079826730.298250645683433
0.7713.08763915223830.317837505270618
0.7813.16832958957480.357659141009690
0.7913.26136733093930.414037152955285
0.813.36988168374460.481124290254735
0.8113.49585808310370.551872174641813
0.8213.63979753250120.618799837447884
0.8313.80059953568970.674803867658019
0.8413.97572932628770.714163826632895
0.8514.16167720877700.733634168856284
0.8614.35463164161170.733273138711206
0.8714.55117940371390.716658269623272
0.8814.74876170120170.690005707740583
0.8914.94564168264370.659633997818882
0.915.14037499435080.628333431700404
0.9115.33124996436600.592991041694856
0.9215.51673657498830.547185195064968
0.9315.69830579058120.489882174553627
0.9415.88660920002310.438343907274845
0.9516.11051319765720.441310645684245
0.9616.42488006211050.563353199110503
0.9716.90430132234540.828245002386308
0.9817.59494937653321.21499224915292
0.9918.40186711574021.65279149014253

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -3.68833923440019 & 0.854043772825385 \tabularnewline
0.02 & -3.21353542532256 & 0.828741195821895 \tabularnewline
0.03 & -2.70319171722193 & 0.927794804864756 \tabularnewline
0.04 & -2.21661282217566 & 0.973444444081616 \tabularnewline
0.05 & -1.77962929429768 & 0.904566996021462 \tabularnewline
0.06 & -1.40539138464658 & 0.77937716606322 \tabularnewline
0.07 & -1.09284191232751 & 0.679429689640013 \tabularnewline
0.08 & -0.82702246396219 & 0.648808243372527 \tabularnewline
0.09 & -0.586139235351963 & 0.685757555833834 \tabularnewline
0.1 & -0.34889406980535 & 0.773938387162315 \tabularnewline
0.11 & -0.0979364671827068 & 0.905298956875296 \tabularnewline
0.12 & 0.179900502298107 & 1.07727701329077 \tabularnewline
0.13 & 0.494236795479707 & 1.28337659501090 \tabularnewline
0.14 & 0.851177984163412 & 1.50886477820822 \tabularnewline
0.15 & 1.25264961133722 & 1.73211632695769 \tabularnewline
0.16 & 1.69569946720541 & 1.92894385990842 \tabularnewline
0.17 & 2.1724526003425 & 2.07765864384906 \tabularnewline
0.18 & 2.67101615310784 & 2.16337870266772 \tabularnewline
0.19 & 3.17719115642308 & 2.18056353732107 \tabularnewline
0.2 & 3.67656138498113 & 2.13338809378988 \tabularnewline
0.21 & 4.15645116151862 & 2.03409074711299 \tabularnewline
0.22 & 4.60733819664815 & 1.89989093798096 \tabularnewline
0.23 & 5.02350027296842 & 1.74932660365460 \tabularnewline
0.24 & 5.40288979958687 & 1.59882969935815 \tabularnewline
0.25 & 5.74640800283375 & 1.46008831292435 \tabularnewline
0.26 & 6.05685454792681 & 1.33878254650676 \tabularnewline
0.27 & 6.33784773377808 & 1.2348628503294 \tabularnewline
0.28 & 6.592956369735 & 1.14433756525544 \tabularnewline
0.29 & 6.82518385886471 & 1.06177792471906 \tabularnewline
0.3 & 7.03683109745265 & 0.982718046056547 \tabularnewline
0.31 & 7.22966783763952 & 0.905139777975272 \tabularnewline
0.32 & 7.40528236781842 & 0.829946303314467 \tabularnewline
0.33 & 7.56546361762164 & 0.760613705795752 \tabularnewline
0.34 & 7.71249251919885 & 0.702290995568195 \tabularnewline
0.35 & 7.8492667244884 & 0.660573740478089 \tabularnewline
0.36 & 7.97923778234889 & 0.640003459704461 \tabularnewline
0.37 & 8.10618793303499 & 0.64265641887979 \tabularnewline
0.38 & 8.23390541161814 & 0.667320911677802 \tabularnewline
0.39 & 8.365829460037 & 0.709934428102549 \tabularnewline
0.4 & 8.5047313224246 & 0.76473329439814 \tabularnewline
0.41 & 8.65248077736884 & 0.825366686037895 \tabularnewline
0.42 & 8.80992566718824 & 0.885740445068203 \tabularnewline
0.43 & 8.97689003220603 & 0.940445231346715 \tabularnewline
0.44 & 9.1522786376884 & 0.985129800476626 \tabularnewline
0.45 & 9.33426362964593 & 1.01670047143020 \tabularnewline
0.46 & 9.5205228152537 & 1.03342401022941 \tabularnewline
0.47 & 9.7084976499476 & 1.03494400147077 \tabularnewline
0.48 & 9.89564112281215 & 1.02214517129757 \tabularnewline
0.49 & 10.0796302736311 & 0.99692592884405 \tabularnewline
0.5 & 10.2585243986283 & 0.961934324626934 \tabularnewline
0.51 & 10.4308578014047 & 0.920182596172704 \tabularnewline
0.52 & 10.5956649281543 & 0.874680450172092 \tabularnewline
0.53 & 10.7524452278181 & 0.82807571737369 \tabularnewline
0.54 & 10.9010838377496 & 0.782394844201205 \tabularnewline
0.55 & 11.0417504544311 & 0.738887911461891 \tabularnewline
0.56 & 11.1748007062433 & 0.698088838080976 \tabularnewline
0.57 & 11.3007008487994 & 0.660024341862697 \tabularnewline
0.58 & 11.4199878083799 & 0.624539063932022 \tabularnewline
0.59 & 11.5332642977063 & 0.591654480290515 \tabularnewline
0.6 & 11.6412161292525 & 0.561798364698142 \tabularnewline
0.61 & 11.7446297818380 & 0.535792206960133 \tabularnewline
0.62 & 11.8443860060741 & 0.514678652833337 \tabularnewline
0.63 & 11.9414113171369 & 0.499236737131356 \tabularnewline
0.64 & 12.0365826660925 & 0.48949050001236 \tabularnewline
0.65 & 12.1305979638691 & 0.484334019023671 \tabularnewline
0.66 & 12.2238413686581 & 0.48152284754233 \tabularnewline
0.67 & 12.3162820797055 & 0.478065135832528 \tabularnewline
0.68 & 12.4074450353570 & 0.470902072097219 \tabularnewline
0.69 & 12.4964803879479 & 0.457605974252706 \tabularnewline
0.7 & 12.5823381357140 & 0.437008412232592 \tabularnewline
0.71 & 12.6640296802458 & 0.409572099488196 \tabularnewline
0.72 & 12.7409354054438 & 0.377523758909623 \tabularnewline
0.73 & 12.8131021495998 & 0.344739606134399 \tabularnewline
0.74 & 12.8814701679145 & 0.316514593715085 \tabularnewline
0.75 & 12.9479766843553 & 0.299036470885872 \tabularnewline
0.76 & 13.0155007982673 & 0.298250645683433 \tabularnewline
0.77 & 13.0876391522383 & 0.317837505270618 \tabularnewline
0.78 & 13.1683295895748 & 0.357659141009690 \tabularnewline
0.79 & 13.2613673309393 & 0.414037152955285 \tabularnewline
0.8 & 13.3698816837446 & 0.481124290254735 \tabularnewline
0.81 & 13.4958580831037 & 0.551872174641813 \tabularnewline
0.82 & 13.6397975325012 & 0.618799837447884 \tabularnewline
0.83 & 13.8005995356897 & 0.674803867658019 \tabularnewline
0.84 & 13.9757293262877 & 0.714163826632895 \tabularnewline
0.85 & 14.1616772087770 & 0.733634168856284 \tabularnewline
0.86 & 14.3546316416117 & 0.733273138711206 \tabularnewline
0.87 & 14.5511794037139 & 0.716658269623272 \tabularnewline
0.88 & 14.7487617012017 & 0.690005707740583 \tabularnewline
0.89 & 14.9456416826437 & 0.659633997818882 \tabularnewline
0.9 & 15.1403749943508 & 0.628333431700404 \tabularnewline
0.91 & 15.3312499643660 & 0.592991041694856 \tabularnewline
0.92 & 15.5167365749883 & 0.547185195064968 \tabularnewline
0.93 & 15.6983057905812 & 0.489882174553627 \tabularnewline
0.94 & 15.8866092000231 & 0.438343907274845 \tabularnewline
0.95 & 16.1105131976572 & 0.441310645684245 \tabularnewline
0.96 & 16.4248800621105 & 0.563353199110503 \tabularnewline
0.97 & 16.9043013223454 & 0.828245002386308 \tabularnewline
0.98 & 17.5949493765332 & 1.21499224915292 \tabularnewline
0.99 & 18.4018671157402 & 1.65279149014253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49444&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]-3.68833923440019[/C][C]0.854043772825385[/C][/ROW]
[ROW][C]0.02[/C][C]-3.21353542532256[/C][C]0.828741195821895[/C][/ROW]
[ROW][C]0.03[/C][C]-2.70319171722193[/C][C]0.927794804864756[/C][/ROW]
[ROW][C]0.04[/C][C]-2.21661282217566[/C][C]0.973444444081616[/C][/ROW]
[ROW][C]0.05[/C][C]-1.77962929429768[/C][C]0.904566996021462[/C][/ROW]
[ROW][C]0.06[/C][C]-1.40539138464658[/C][C]0.77937716606322[/C][/ROW]
[ROW][C]0.07[/C][C]-1.09284191232751[/C][C]0.679429689640013[/C][/ROW]
[ROW][C]0.08[/C][C]-0.82702246396219[/C][C]0.648808243372527[/C][/ROW]
[ROW][C]0.09[/C][C]-0.586139235351963[/C][C]0.685757555833834[/C][/ROW]
[ROW][C]0.1[/C][C]-0.34889406980535[/C][C]0.773938387162315[/C][/ROW]
[ROW][C]0.11[/C][C]-0.0979364671827068[/C][C]0.905298956875296[/C][/ROW]
[ROW][C]0.12[/C][C]0.179900502298107[/C][C]1.07727701329077[/C][/ROW]
[ROW][C]0.13[/C][C]0.494236795479707[/C][C]1.28337659501090[/C][/ROW]
[ROW][C]0.14[/C][C]0.851177984163412[/C][C]1.50886477820822[/C][/ROW]
[ROW][C]0.15[/C][C]1.25264961133722[/C][C]1.73211632695769[/C][/ROW]
[ROW][C]0.16[/C][C]1.69569946720541[/C][C]1.92894385990842[/C][/ROW]
[ROW][C]0.17[/C][C]2.1724526003425[/C][C]2.07765864384906[/C][/ROW]
[ROW][C]0.18[/C][C]2.67101615310784[/C][C]2.16337870266772[/C][/ROW]
[ROW][C]0.19[/C][C]3.17719115642308[/C][C]2.18056353732107[/C][/ROW]
[ROW][C]0.2[/C][C]3.67656138498113[/C][C]2.13338809378988[/C][/ROW]
[ROW][C]0.21[/C][C]4.15645116151862[/C][C]2.03409074711299[/C][/ROW]
[ROW][C]0.22[/C][C]4.60733819664815[/C][C]1.89989093798096[/C][/ROW]
[ROW][C]0.23[/C][C]5.02350027296842[/C][C]1.74932660365460[/C][/ROW]
[ROW][C]0.24[/C][C]5.40288979958687[/C][C]1.59882969935815[/C][/ROW]
[ROW][C]0.25[/C][C]5.74640800283375[/C][C]1.46008831292435[/C][/ROW]
[ROW][C]0.26[/C][C]6.05685454792681[/C][C]1.33878254650676[/C][/ROW]
[ROW][C]0.27[/C][C]6.33784773377808[/C][C]1.2348628503294[/C][/ROW]
[ROW][C]0.28[/C][C]6.592956369735[/C][C]1.14433756525544[/C][/ROW]
[ROW][C]0.29[/C][C]6.82518385886471[/C][C]1.06177792471906[/C][/ROW]
[ROW][C]0.3[/C][C]7.03683109745265[/C][C]0.982718046056547[/C][/ROW]
[ROW][C]0.31[/C][C]7.22966783763952[/C][C]0.905139777975272[/C][/ROW]
[ROW][C]0.32[/C][C]7.40528236781842[/C][C]0.829946303314467[/C][/ROW]
[ROW][C]0.33[/C][C]7.56546361762164[/C][C]0.760613705795752[/C][/ROW]
[ROW][C]0.34[/C][C]7.71249251919885[/C][C]0.702290995568195[/C][/ROW]
[ROW][C]0.35[/C][C]7.8492667244884[/C][C]0.660573740478089[/C][/ROW]
[ROW][C]0.36[/C][C]7.97923778234889[/C][C]0.640003459704461[/C][/ROW]
[ROW][C]0.37[/C][C]8.10618793303499[/C][C]0.64265641887979[/C][/ROW]
[ROW][C]0.38[/C][C]8.23390541161814[/C][C]0.667320911677802[/C][/ROW]
[ROW][C]0.39[/C][C]8.365829460037[/C][C]0.709934428102549[/C][/ROW]
[ROW][C]0.4[/C][C]8.5047313224246[/C][C]0.76473329439814[/C][/ROW]
[ROW][C]0.41[/C][C]8.65248077736884[/C][C]0.825366686037895[/C][/ROW]
[ROW][C]0.42[/C][C]8.80992566718824[/C][C]0.885740445068203[/C][/ROW]
[ROW][C]0.43[/C][C]8.97689003220603[/C][C]0.940445231346715[/C][/ROW]
[ROW][C]0.44[/C][C]9.1522786376884[/C][C]0.985129800476626[/C][/ROW]
[ROW][C]0.45[/C][C]9.33426362964593[/C][C]1.01670047143020[/C][/ROW]
[ROW][C]0.46[/C][C]9.5205228152537[/C][C]1.03342401022941[/C][/ROW]
[ROW][C]0.47[/C][C]9.7084976499476[/C][C]1.03494400147077[/C][/ROW]
[ROW][C]0.48[/C][C]9.89564112281215[/C][C]1.02214517129757[/C][/ROW]
[ROW][C]0.49[/C][C]10.0796302736311[/C][C]0.99692592884405[/C][/ROW]
[ROW][C]0.5[/C][C]10.2585243986283[/C][C]0.961934324626934[/C][/ROW]
[ROW][C]0.51[/C][C]10.4308578014047[/C][C]0.920182596172704[/C][/ROW]
[ROW][C]0.52[/C][C]10.5956649281543[/C][C]0.874680450172092[/C][/ROW]
[ROW][C]0.53[/C][C]10.7524452278181[/C][C]0.82807571737369[/C][/ROW]
[ROW][C]0.54[/C][C]10.9010838377496[/C][C]0.782394844201205[/C][/ROW]
[ROW][C]0.55[/C][C]11.0417504544311[/C][C]0.738887911461891[/C][/ROW]
[ROW][C]0.56[/C][C]11.1748007062433[/C][C]0.698088838080976[/C][/ROW]
[ROW][C]0.57[/C][C]11.3007008487994[/C][C]0.660024341862697[/C][/ROW]
[ROW][C]0.58[/C][C]11.4199878083799[/C][C]0.624539063932022[/C][/ROW]
[ROW][C]0.59[/C][C]11.5332642977063[/C][C]0.591654480290515[/C][/ROW]
[ROW][C]0.6[/C][C]11.6412161292525[/C][C]0.561798364698142[/C][/ROW]
[ROW][C]0.61[/C][C]11.7446297818380[/C][C]0.535792206960133[/C][/ROW]
[ROW][C]0.62[/C][C]11.8443860060741[/C][C]0.514678652833337[/C][/ROW]
[ROW][C]0.63[/C][C]11.9414113171369[/C][C]0.499236737131356[/C][/ROW]
[ROW][C]0.64[/C][C]12.0365826660925[/C][C]0.48949050001236[/C][/ROW]
[ROW][C]0.65[/C][C]12.1305979638691[/C][C]0.484334019023671[/C][/ROW]
[ROW][C]0.66[/C][C]12.2238413686581[/C][C]0.48152284754233[/C][/ROW]
[ROW][C]0.67[/C][C]12.3162820797055[/C][C]0.478065135832528[/C][/ROW]
[ROW][C]0.68[/C][C]12.4074450353570[/C][C]0.470902072097219[/C][/ROW]
[ROW][C]0.69[/C][C]12.4964803879479[/C][C]0.457605974252706[/C][/ROW]
[ROW][C]0.7[/C][C]12.5823381357140[/C][C]0.437008412232592[/C][/ROW]
[ROW][C]0.71[/C][C]12.6640296802458[/C][C]0.409572099488196[/C][/ROW]
[ROW][C]0.72[/C][C]12.7409354054438[/C][C]0.377523758909623[/C][/ROW]
[ROW][C]0.73[/C][C]12.8131021495998[/C][C]0.344739606134399[/C][/ROW]
[ROW][C]0.74[/C][C]12.8814701679145[/C][C]0.316514593715085[/C][/ROW]
[ROW][C]0.75[/C][C]12.9479766843553[/C][C]0.299036470885872[/C][/ROW]
[ROW][C]0.76[/C][C]13.0155007982673[/C][C]0.298250645683433[/C][/ROW]
[ROW][C]0.77[/C][C]13.0876391522383[/C][C]0.317837505270618[/C][/ROW]
[ROW][C]0.78[/C][C]13.1683295895748[/C][C]0.357659141009690[/C][/ROW]
[ROW][C]0.79[/C][C]13.2613673309393[/C][C]0.414037152955285[/C][/ROW]
[ROW][C]0.8[/C][C]13.3698816837446[/C][C]0.481124290254735[/C][/ROW]
[ROW][C]0.81[/C][C]13.4958580831037[/C][C]0.551872174641813[/C][/ROW]
[ROW][C]0.82[/C][C]13.6397975325012[/C][C]0.618799837447884[/C][/ROW]
[ROW][C]0.83[/C][C]13.8005995356897[/C][C]0.674803867658019[/C][/ROW]
[ROW][C]0.84[/C][C]13.9757293262877[/C][C]0.714163826632895[/C][/ROW]
[ROW][C]0.85[/C][C]14.1616772087770[/C][C]0.733634168856284[/C][/ROW]
[ROW][C]0.86[/C][C]14.3546316416117[/C][C]0.733273138711206[/C][/ROW]
[ROW][C]0.87[/C][C]14.5511794037139[/C][C]0.716658269623272[/C][/ROW]
[ROW][C]0.88[/C][C]14.7487617012017[/C][C]0.690005707740583[/C][/ROW]
[ROW][C]0.89[/C][C]14.9456416826437[/C][C]0.659633997818882[/C][/ROW]
[ROW][C]0.9[/C][C]15.1403749943508[/C][C]0.628333431700404[/C][/ROW]
[ROW][C]0.91[/C][C]15.3312499643660[/C][C]0.592991041694856[/C][/ROW]
[ROW][C]0.92[/C][C]15.5167365749883[/C][C]0.547185195064968[/C][/ROW]
[ROW][C]0.93[/C][C]15.6983057905812[/C][C]0.489882174553627[/C][/ROW]
[ROW][C]0.94[/C][C]15.8866092000231[/C][C]0.438343907274845[/C][/ROW]
[ROW][C]0.95[/C][C]16.1105131976572[/C][C]0.441310645684245[/C][/ROW]
[ROW][C]0.96[/C][C]16.4248800621105[/C][C]0.563353199110503[/C][/ROW]
[ROW][C]0.97[/C][C]16.9043013223454[/C][C]0.828245002386308[/C][/ROW]
[ROW][C]0.98[/C][C]17.5949493765332[/C][C]1.21499224915292[/C][/ROW]
[ROW][C]0.99[/C][C]18.4018671157402[/C][C]1.65279149014253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49444&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49444&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-3.688339234400190.854043772825385
0.02-3.213535425322560.828741195821895
0.03-2.703191717221930.927794804864756
0.04-2.216612822175660.973444444081616
0.05-1.779629294297680.904566996021462
0.06-1.405391384646580.77937716606322
0.07-1.092841912327510.679429689640013
0.08-0.827022463962190.648808243372527
0.09-0.5861392353519630.685757555833834
0.1-0.348894069805350.773938387162315
0.11-0.09793646718270680.905298956875296
0.120.1799005022981071.07727701329077
0.130.4942367954797071.28337659501090
0.140.8511779841634121.50886477820822
0.151.252649611337221.73211632695769
0.161.695699467205411.92894385990842
0.172.17245260034252.07765864384906
0.182.671016153107842.16337870266772
0.193.177191156423082.18056353732107
0.23.676561384981132.13338809378988
0.214.156451161518622.03409074711299
0.224.607338196648151.89989093798096
0.235.023500272968421.74932660365460
0.245.402889799586871.59882969935815
0.255.746408002833751.46008831292435
0.266.056854547926811.33878254650676
0.276.337847733778081.2348628503294
0.286.5929563697351.14433756525544
0.296.825183858864711.06177792471906
0.37.036831097452650.982718046056547
0.317.229667837639520.905139777975272
0.327.405282367818420.829946303314467
0.337.565463617621640.760613705795752
0.347.712492519198850.702290995568195
0.357.84926672448840.660573740478089
0.367.979237782348890.640003459704461
0.378.106187933034990.64265641887979
0.388.233905411618140.667320911677802
0.398.3658294600370.709934428102549
0.48.50473132242460.76473329439814
0.418.652480777368840.825366686037895
0.428.809925667188240.885740445068203
0.438.976890032206030.940445231346715
0.449.15227863768840.985129800476626
0.459.334263629645931.01670047143020
0.469.52052281525371.03342401022941
0.479.70849764994761.03494400147077
0.489.895641122812151.02214517129757
0.4910.07963027363110.99692592884405
0.510.25852439862830.961934324626934
0.5110.43085780140470.920182596172704
0.5210.59566492815430.874680450172092
0.5310.75244522781810.82807571737369
0.5410.90108383774960.782394844201205
0.5511.04175045443110.738887911461891
0.5611.17480070624330.698088838080976
0.5711.30070084879940.660024341862697
0.5811.41998780837990.624539063932022
0.5911.53326429770630.591654480290515
0.611.64121612925250.561798364698142
0.6111.74462978183800.535792206960133
0.6211.84438600607410.514678652833337
0.6311.94141131713690.499236737131356
0.6412.03658266609250.48949050001236
0.6512.13059796386910.484334019023671
0.6612.22384136865810.48152284754233
0.6712.31628207970550.478065135832528
0.6812.40744503535700.470902072097219
0.6912.49648038794790.457605974252706
0.712.58233813571400.437008412232592
0.7112.66402968024580.409572099488196
0.7212.74093540544380.377523758909623
0.7312.81310214959980.344739606134399
0.7412.88147016791450.316514593715085
0.7512.94797668435530.299036470885872
0.7613.01550079826730.298250645683433
0.7713.08763915223830.317837505270618
0.7813.16832958957480.357659141009690
0.7913.26136733093930.414037152955285
0.813.36988168374460.481124290254735
0.8113.49585808310370.551872174641813
0.8213.63979753250120.618799837447884
0.8313.80059953568970.674803867658019
0.8413.97572932628770.714163826632895
0.8514.16167720877700.733634168856284
0.8614.35463164161170.733273138711206
0.8714.55117940371390.716658269623272
0.8814.74876170120170.690005707740583
0.8914.94564168264370.659633997818882
0.915.14037499435080.628333431700404
0.9115.33124996436600.592991041694856
0.9215.51673657498830.547185195064968
0.9315.69830579058120.489882174553627
0.9415.88660920002310.438343907274845
0.9516.11051319765720.441310645684245
0.9616.42488006211050.563353199110503
0.9716.90430132234540.828245002386308
0.9817.59494937653321.21499224915292
0.9918.40186711574021.65279149014253


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')